VANTED: a system for advanced data analysis and visualization in the context of biological networks.

VANTED: a system for advanced data analysis and visualization in the context of biological networks.
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DOI:
10.1186/1471-2105-7-109
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发表时间:
2006-03-06
期刊:
影响因子:
3
通讯作者:
Schreiber F
Schreiber F
中科院分区:
生物学4区
文献类型:
--
作者:
Junker BH;Klukas C;Schreiber F

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生命科学研究中高通量方法的最新进展增加了对自动化数据分析和可视化探索技术的需求。先进的生物信息学工具对于从大量实验数据中推断出有生物学意义的解释并帮助理解生物过程至关重要。我们提出了VANTED,一个可视化和分析网络与相关实验数据的工具。来自大规模生化实验的数据通过基于Microsoft Excel的表单上传到软件中。然后,它可以映射到网络上,该网络可以使用工具本身绘制,从KEGG Pathway数据库下载,或使用标准网络交换格式导入。转录本、酶和代谢物数据可以在其基础网络的上下文中呈现。G.代谢途径或分类层次。可视化和导航方法支持数据丰富的网络的可视化探索。统计方法允许分析和比较多个数据集,如不同的发育阶段或遗传上不同的品系。相关网络可以从数据中自动生成,并且物质可以根据随时间推移的类似行为进行聚类。例如,代谢物分析和酶活性数据集已在不同的代谢图中可视化,相关网络已生成,并检测到类似的时间模式。发现了与文献密切一致的不同代谢物之间的一些关系。VANTED极大地帮助研究人员分析和解释生化数据,因此是现代生物学研究的有用工具。VANTED作为Java Web Start应用程序,包括用户指南和示例数据集,可在。
Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisticated bioinformatics tools are essential to deduct biologically meaningful interpretations from the large amount of experimental data, and help to understand biological processes. We present VANTED, a tool for the visualization and analysis of networks with related experimental data. Data from large-scale biochemical experiments is uploaded into the software via a Microsoft Excel-based form. Then it can be mapped on a network that is either drawn with the tool itself, downloaded from the KEGG Pathway database, or imported using standard network exchange formats. Transcript, enzyme, and metabolite data can be presented in the context of their underlying networks, e. g. metabolic pathways or classification hierarchies. Visualization and navigation methods support the visual exploration of the data-enriched networks. Statistical methods allow analysis and comparison of multiple data sets such as different developmental stages or genetically different lines. Correlation networks can be automatically generated from the data and substances can be clustered according to similar behavior over time. As examples, metabolite profiling and enzyme activity data sets have been visualized in different metabolic maps, correlation networks have been generated and similar time patterns detected. Some relationships between different metabolites were discovered which are in close accordance with the literature. VANTED greatly helps researchers in the analysis and interpretation of biochemical data, and thus is a useful tool for modern biological research. VANTED as a Java Web Start Application including a user guide and example data sets is available free of charge at .
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